A repository intended to host some machine learning models for gas turbine health monitoring based on the datasets provided by NASA (1) (2) hosted here article.
This repository is inspired by Srinath Pereras and Roshan Alwis article on infoq about predictive maintenance for gas turbines.
Literature:
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A. Saxena and K. Goebel (2008). "Turbofan Engine Degradation Simulation Data Set", NASA Ames Prognostics Data Repository (http://ti.arc.nasa.gov/project/prognostic-data-repository), NASA Ames Research Center, Moffett Field, CA
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A. Saxena and K. Goebel (2008). "PHM08 Challenge Data Set", NASA Ames Prognostics Data Repository (http://ti.arc.nasa.gov/project/prognostic-data-repository), NASA Ames Research Center, Moffett Field, CA